Efficient Learning Machines by Mariette Awad & Rahul Khanna

Author:Mariette Awad & Rahul Khanna
Language: eng
Format: epub, mobi, pdf
Publisher: Apress, Berkeley, CA

2. Similarity measure: A similarity measure quantifies the affinity between an antigen and its candidate antibodies. The matching algorithm measures the extent of agreement, disagreement, or correlation between a candidate antibody and its target antigen. Candidates with strong agreement or disagreement may be selected for further processing (cloning or mutation).

3. Selection: The selection process follows an iterative procedure, in which the concentration of antibodies is regulated by cloning or removal at each step, depending on the antibody–antigen affinity measure. Upon adding a new antibody, the iterative process changes the concentration of that antibody, continuing until the AIS achieves stability. AIS iteration can be represented by the following equation (Farmer, Packard, and Perelson 1986):

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